Work

Regression-in-Ratio Estimators for Population Mean by Using Robust Regression in Two Phase Sampling

Year: 2021

Type: article

Abstract: The estimation of population mean is not meaningful using ordinary least square method when data contains some outliers. In the current study, we proposed efficient estimators of population mean using robust regression in two phase sampling. An extensive simulation study is conduct to examine the efficiency of proposed estimators in terms of mean square error (MSE). Real life example and extensive simulation study are cited to demonstrate the performance of the proposed estimators. Theoretical example and simulation studies showed that the suggested estimators are more efficient than the considered estimators in the presence of outliers.

Source: Journal of Reliability and Statistical Studies

DOI: 10.13052/jrss0974-8024.1427

Authors: Muhammad Noor-ul-Amin, Aamir Raza

Institutions: COMSATS University Islamabad, COMSATS University Islamabad, Lahore Campus, Government Graduate College, Mandi Bahauddin

Language: English

Topic: Survey Sampling and Estimation Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W3207789682

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